The objective of this project is to design and implement a Streamlit-based NSFW content detector and classifier tailored for advertisements. Leveraging machine learning, the system aims to analyze images and videos, automatically identifying and categorizing potentially inappropriate or explicit content within advertisements.
active 2024-01-31 → 2024-05-14 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 105 days from 2024-01-31 to 2024-05-14. Pushes: 25 total, peak 14 in a day. Pull requests: 8 total, peak 2 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 1 total, peak 1 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| AdrielAlvarezC | 17 | 17 | 0 | 0 |
| islryan | 16 | 8 | 8 | 0 |
Recent activity
Latest issues, pull requests and releases
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 1 stars here means stars gained during the window, not the repo's star count.